The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. This report is published daily at 8 PM EST. If you would like to add additional metrics to this report, please send a mail to the author at dhivyaravindran@gmail.com.
Report Printed On
## [1] "2020-03-19"
Overall Confirmed Cases Count Worldwide
## [1] 242713
Overall Deaths Worldwide
Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 9867
Overall Recovered Worldwide
Please note that the recoveries is at the minimum an underestimate as there could and will be recoveries from the current active cases, the data for which is evolving.
## [1] 84962
Overall Active Cases Worldwide
## [1] 147884
Overall Fatality Rate Worldwide in %
Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.
## [1] 4.07
Overall Recovery Rate Worldwide in %
Please note that the recovery rate is at the minimum an underestimate as there could and will be recoveries from the current active cases, the data for which is evolving.
## [1] 35.01
Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates and Recovery Rates)
| Country.Region | TotalConfirmed | TotalDeaths | TotalRecovered | TotalActive | FatalityRate | RecoveryRate |
|---|---|---|---|---|---|---|
| China | 81156 | 3249 | 70535 | 7372 | 4.00 | 86.91 |
| Italy | 41035 | 3405 | 4440 | 33190 | 8.30 | 10.82 |
| Iran | 18407 | 1284 | 5710 | 11413 | 6.98 | 31.02 |
| Spain | 17963 | 830 | 1107 | 16026 | 4.62 | 6.16 |
| Germany | 15320 | 44 | 113 | 15163 | 0.29 | 0.74 |
| US | 13680 | 200 | 108 | 13372 | 1.46 | 0.79 |
| France | 10886 | 243 | 12 | 10631 | 2.23 | 0.11 |
| Korea, South | 8565 | 91 | 1540 | 6934 | 1.06 | 17.98 |
| Switzerland | 4075 | 41 | 15 | 4019 | 1.01 | 0.37 |
| United Kingdom | 2716 | 138 | 67 | 2511 | 5.08 | 2.47 |
| Netherlands | 2465 | 77 | 2 | 2386 | 3.12 | 0.08 |
| Austria | 2013 | 6 | 9 | 1998 | 0.30 | 0.45 |
| Belgium | 1795 | 21 | 31 | 1743 | 1.17 | 1.73 |
| Norway | 1746 | 7 | 1 | 1738 | 0.40 | 0.06 |
| Sweden | 1439 | 11 | 16 | 1412 | 0.76 | 1.11 |
| Denmark | 1225 | 6 | 1 | 1218 | 0.49 | 0.08 |
| Japan | 924 | 29 | 150 | 745 | 3.14 | 16.23 |
| Malaysia | 900 | 2 | 75 | 823 | 0.22 | 8.33 |
| Canada | 800 | 9 | 9 | 782 | 1.12 | 1.12 |
| Portugal | 785 | 3 | 3 | 779 | 0.38 | 0.38 |
| Cruise Ship | 712 | 7 | 325 | 380 | 0.98 | 45.65 |
| Czechia | 694 | 0 | 3 | 691 | 0.00 | 0.43 |
| Australia | 681 | 6 | 26 | 649 | 0.88 | 3.82 |
| Israel | 677 | 0 | 11 | 666 | 0.00 | 1.62 |
| Brazil | 621 | 6 | 2 | 613 | 0.97 | 0.32 |
| Ireland | 557 | 3 | 5 | 549 | 0.54 | 0.90 |
| Qatar | 460 | 0 | 4 | 456 | 0.00 | 0.87 |
| Pakistan | 454 | 2 | 13 | 439 | 0.44 | 2.86 |
| Greece | 418 | 6 | 8 | 404 | 1.44 | 1.91 |
| Finland | 400 | 0 | 10 | 390 | 0.00 | 2.50 |
| Poland | 355 | 5 | 1 | 349 | 1.41 | 0.28 |
| Singapore | 345 | 0 | 114 | 231 | 0.00 | 33.04 |
| Luxembourg | 335 | 4 | 0 | 331 | 1.19 | 0.00 |
| Iceland | 330 | 1 | 5 | 324 | 0.30 | 1.52 |
| Indonesia | 311 | 25 | 11 | 275 | 8.04 | 3.54 |
| Slovenia | 286 | 1 | 0 | 285 | 0.35 | 0.00 |
| Bahrain | 278 | 1 | 100 | 177 | 0.36 | 35.97 |
| Romania | 277 | 0 | 25 | 252 | 0.00 | 9.03 |
| Saudi Arabia | 274 | 0 | 6 | 268 | 0.00 | 2.19 |
| Thailand | 272 | 1 | 42 | 229 | 0.37 | 15.44 |
| Estonia | 267 | 0 | 1 | 266 | 0.00 | 0.37 |
| Egypt | 256 | 6 | 32 | 218 | 2.34 | 12.50 |
| Chile | 238 | 0 | 0 | 238 | 0.00 | 0.00 |
| Peru | 234 | 0 | 1 | 233 | 0.00 | 0.43 |
| Philippines | 217 | 17 | 8 | 192 | 7.83 | 3.69 |
| Ecuador | 199 | 3 | 0 | 196 | 1.51 | 0.00 |
| Russia | 199 | 1 | 9 | 189 | 0.50 | 4.52 |
| India | 194 | 4 | 15 | 175 | 2.06 | 7.73 |
| Iraq | 192 | 13 | 43 | 136 | 6.77 | 22.40 |
| Turkey | 192 | 3 | 0 | 189 | 1.56 | 0.00 |
| Lebanon | 157 | 4 | 4 | 149 | 2.55 | 2.55 |
| South Africa | 150 | 0 | 0 | 150 | 0.00 | 0.00 |
| Kuwait | 148 | 0 | 18 | 130 | 0.00 | 12.16 |
| United Arab Emirates | 140 | 0 | 31 | 109 | 0.00 | 22.14 |
| Slovakia | 123 | 1 | 0 | 122 | 0.81 | 0.00 |
| San Marino | 119 | 11 | 4 | 104 | 9.24 | 3.36 |
| Mexico | 118 | 1 | 4 | 113 | 0.85 | 3.39 |
| Armenia | 115 | 0 | 1 | 114 | 0.00 | 0.87 |
| Panama | 109 | 1 | 0 | 108 | 0.92 | 0.00 |
| Taiwan* | 108 | 1 | 26 | 81 | 0.93 | 24.07 |
| Croatia | 105 | 1 | 5 | 99 | 0.95 | 4.76 |
| Serbia | 103 | 0 | 1 | 102 | 0.00 | 0.97 |
| Colombia | 102 | 0 | 1 | 101 | 0.00 | 0.98 |
Confirmed Cases and Deaths- States of USA (With Fatality Rates and Recovery Rates)
| State | Confirmed | Deaths | Recovered | Active | FatalityRate | RecoveryRate |
|---|---|---|---|---|---|---|
| New York | 5365 | 34 | 0 | 5331 | 0.63 | 0 |
| Washington | 1376 | 74 | 0 | 1302 | 5.38 | 0 |
| California | 952 | 18 | 0 | 934 | 1.89 | 0 |
| New Jersey | 742 | 9 | 0 | 733 | 1.21 | 0 |
| Illinois | 422 | 4 | 0 | 418 | 0.95 | 0 |
| Florida | 417 | 9 | 0 | 408 | 2.16 | 0 |
| Louisiana | 392 | 10 | 0 | 382 | 2.55 | 0 |
| Michigan | 334 | 3 | 0 | 331 | 0.90 | 0 |
| Massachusetts | 328 | 0 | 0 | 328 | 0.00 | 0 |
| Georgia | 287 | 10 | 0 | 277 | 3.48 | 0 |
| Colorado | 277 | 4 | 0 | 273 | 1.44 | 0 |
| Texas | 260 | 5 | 0 | 255 | 1.92 | 0 |
| Pennsylvania | 206 | 1 | 0 | 205 | 0.49 | 0 |
| Connecticut | 159 | 2 | 0 | 157 | 1.26 | 0 |
| Wisconsin | 159 | 0 | 0 | 159 | 0.00 | 0 |
| Tennessee | 154 | 0 | 0 | 154 | 0.00 | 0 |
| North Carolina | 123 | 0 | 0 | 123 | 0.00 | 0 |
| Ohio | 119 | 0 | 0 | 119 | 0.00 | 0 |
| Maryland | 107 | 1 | 0 | 106 | 0.93 | 0 |
| Virginia | 99 | 2 | 0 | 97 | 2.02 | 0 |
| Nevada | 95 | 1 | 0 | 94 | 1.05 | 0 |
| Minnesota | 89 | 0 | 0 | 89 | 0.00 | 0 |
| Oregon | 88 | 3 | 0 | 85 | 3.41 | 0 |
| South Carolina | 81 | 1 | 0 | 80 | 1.23 | 0 |
| Utah | 80 | 0 | 0 | 80 | 0.00 | 0 |
| Alabama | 78 | 0 | 0 | 78 | 0.00 | 0 |
| Arkansas | 62 | 0 | 0 | 62 | 0.00 | 0 |
| Indiana | 60 | 2 | 0 | 58 | 3.33 | 0 |
| Maine | 52 | 0 | 0 | 52 | 0.00 | 0 |
| Mississippi | 50 | 1 | 0 | 49 | 2.00 | 0 |
| Diamond Princess | 47 | 0 | 0 | 47 | 0.00 | 0 |
| Arizona | 45 | 0 | 0 | 45 | 0.00 | 0 |
| Iowa | 44 | 0 | 0 | 44 | 0.00 | 0 |
| New Hampshire | 44 | 0 | 0 | 44 | 0.00 | 0 |
| Oklahoma | 44 | 1 | 0 | 43 | 2.27 | 0 |
| Rhode Island | 44 | 0 | 0 | 44 | 0.00 | 0 |
| District of Columbia | 40 | 0 | 0 | 40 | 0.00 | 0 |
| Kentucky | 37 | 2 | 0 | 35 | 5.41 | 0 |
| New Mexico | 35 | 0 | 0 | 35 | 0.00 | 0 |
| Kansas | 34 | 1 | 0 | 33 | 2.94 | 0 |
| Missouri | 31 | 1 | 0 | 30 | 3.23 | 0 |
| Delaware | 30 | 0 | 0 | 30 | 0.00 | 0 |
| Nebraska | 29 | 0 | 0 | 29 | 0.00 | 0 |
| Grand Princess | 22 | 0 | 0 | 22 | 0.00 | 0 |
| Vermont | 22 | 0 | 0 | 22 | 0.00 | 0 |
| North Dakota | 18 | 0 | 0 | 18 | 0.00 | 0 |
| Wyoming | 18 | 0 | 0 | 18 | 0.00 | 0 |
| Hawaii | 16 | 0 | 0 | 16 | 0.00 | 0 |
| Guam | 12 | 0 | 0 | 12 | 0.00 | 0 |
| Idaho | 11 | 0 | 0 | 11 | 0.00 | 0 |
| Montana | 11 | 0 | 0 | 11 | 0.00 | 0 |
| South Dakota | 11 | 1 | 0 | 10 | 9.09 | 0 |
| Alaska | 9 | 0 | 0 | 9 | 0.00 | 0 |
| Puerto Rico | 5 | 0 | 0 | 5 | 0.00 | 0 |
| Virgin Islands | 3 | 0 | 0 | 3 | 0.00 | 0 |
| United States Virgin Islands | 2 | 0 | 0 | 2 | 0.00 | 0 |
| West Virginia | 2 | 0 | 0 | 2 | 0.00 | 0 |
| US | 1 | 0 | 108 | -107 | 0.00 | 10800 |
Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates and Recovery Rates)
| Province | Confirmed | Deaths | Recovered | Active | FatalityRate | RecoveryRate |
|---|---|---|---|---|---|---|
| Ontario | 257 | 1 | 5 | 251 | 0.39 | 1.95 |
| British Columbia | 231 | 7 | 4 | 220 | 3.03 | 1.73 |
| Quebec | 121 | 1 | 0 | 120 | 0.83 | 0.00 |
| Alberta | 119 | 0 | 0 | 119 | 0.00 | 0.00 |
| Manitoba | 17 | 0 | 0 | 17 | 0.00 | 0.00 |
| Saskatchewan | 16 | 0 | 0 | 16 | 0.00 | 0.00 |
| Nova Scotia | 14 | 0 | 0 | 14 | 0.00 | 0.00 |
| New Brunswick | 11 | 0 | 0 | 11 | 0.00 | 0.00 |
| Grand Princess | 9 | 0 | 0 | 9 | 0.00 | 0.00 |
| Newfoundland and Labrador | 3 | 0 | 0 | 3 | 0.00 | 0.00 |
| Prince Edward Island | 2 | 0 | 0 | 2 | 0.00 | 0.00 |
Confirmed Cases and Deaths- Provinces of China (With Fatality Rates and Recovery Rates)
| Province | Confirmed | Deaths | Recovered | Active | FatalityRate | RecoveryRate |
|---|---|---|---|---|---|---|
| Hubei | 67800 | 3130 | 57682 | 6988 | 4.62 | 85.08 |
| Guangdong | 1378 | 8 | 1318 | 52 | 0.58 | 95.65 |
| Henan | 1273 | 22 | 1250 | 1 | 1.73 | 98.19 |
| Zhejiang | 1233 | 1 | 1217 | 15 | 0.08 | 98.70 |
| Hunan | 1018 | 4 | 1014 | 0 | 0.39 | 99.61 |
| Anhui | 990 | 6 | 984 | 0 | 0.61 | 99.39 |
| Jiangxi | 935 | 1 | 934 | 0 | 0.11 | 99.89 |
| Shandong | 761 | 7 | 747 | 7 | 0.92 | 98.16 |
| Jiangsu | 631 | 0 | 631 | 0 | 0.00 | 100.00 |
| Chongqing | 576 | 6 | 570 | 0 | 1.04 | 98.96 |
| Sichuan | 540 | 3 | 536 | 1 | 0.56 | 99.26 |
| Heilongjiang | 483 | 13 | 460 | 10 | 2.69 | 95.24 |
| Beijing | 480 | 8 | 380 | 92 | 1.67 | 79.17 |
| Shanghai | 363 | 3 | 326 | 34 | 0.83 | 89.81 |
| Hebei | 318 | 6 | 310 | 2 | 1.89 | 97.48 |
| Fujian | 296 | 1 | 295 | 0 | 0.34 | 99.66 |
| Guangxi | 253 | 2 | 250 | 1 | 0.79 | 98.81 |
| Shaanxi | 246 | 3 | 237 | 6 | 1.22 | 96.34 |
| Hong Kong | 208 | 4 | 95 | 109 | 1.92 | 45.67 |
| Yunnan | 176 | 2 | 172 | 2 | 1.14 | 97.73 |
| Hainan | 168 | 6 | 161 | 1 | 3.57 | 95.83 |
| Guizhou | 146 | 2 | 144 | 0 | 1.37 | 98.63 |
| Tianjin | 137 | 3 | 133 | 1 | 2.19 | 97.08 |
| Gansu | 134 | 2 | 91 | 41 | 1.49 | 67.91 |
| Shanxi | 133 | 0 | 133 | 0 | 0.00 | 100.00 |
| Liaoning | 125 | 1 | 122 | 2 | 0.80 | 97.60 |
| Jilin | 93 | 1 | 92 | 0 | 1.08 | 98.92 |
| Xinjiang | 76 | 3 | 73 | 0 | 3.95 | 96.05 |
| Inner Mongolia | 75 | 1 | 74 | 0 | 1.33 | 98.67 |
| Ningxia | 75 | 0 | 75 | 0 | 0.00 | 100.00 |
| Qinghai | 18 | 0 | 18 | 0 | 0.00 | 100.00 |
| Macau | 17 | 0 | 10 | 7 | 0.00 | 58.82 |
| Tibet | 1 | 0 | 1 | 0 | 0.00 | 100.00 |
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.
Country Wise Time Series Curve
Country Wise Time Series Curve
flattening of the epidemic curve
is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 average of new cases.
Number of New Cases in the past 24 hrs
Number of Deaths in the past 24 hrs
This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.
For the top 20 countries with most confirmed cases excluding cruise ships
| Country.Region | ConfirmedCasesPerMillionPopl | DeathsPerMillionPopl | InfectionOdds |
|---|---|---|---|
| China | 58.55 | 2.34 | 1 in 17078 |
| Italy | 678.49 | 56.30 | 1 in 1474 |
| Iran | 226.80 | 15.82 | 1 in 4409 |
| Spain | 384.98 | 17.79 | 1 in 2598 |
| Germany | 185.05 | 0.53 | 1 in 5404 |
| US | 41.81 | 0.61 | 1 in 23918 |
| France | 162.50 | 3.63 | 1 in 6154 |
| Korea, South | 166.41 | 1.77 | 1 in 6009 |
| Switzerland | 475.50 | 4.78 | 1 in 2103 |
| United Kingdom | 40.88 | 2.08 | 1 in 24462 |
| Netherlands | 143.48 | 4.48 | 1 in 6970 |
| Austria | 228.18 | 0.68 | 1 in 4383 |
| Belgium | 157.46 | 1.84 | 1 in 6351 |
| Norway | 325.26 | 1.30 | 1 in 3074 |
| Sweden | 142.19 | 1.09 | 1 in 7033 |
| Denmark | 218.63 | 1.07 | 1 in 4574 |
| Japan | 7.29 | 0.23 | 1 in 137229 |
| Malaysia | 28.46 | 0.06 | 1 in 35133 |
| Canada | 21.28 | 0.24 | 1 in 46988 |
| Portugal | 76.29 | 0.29 | 1 in 13108 |
Data Sources: 1. https://github.com/CSSEGISandData 2. https://github.com/pomber